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Household debt and financial assets: evidence from Germany, Great Britain and the USA

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  • Sarah Brown
  • Karl Taylor

Abstract

We explore the determinants of debt, financial assets and net worth at the household level by using survey data for Germany, Great Britain and the USA. To identify which households are potentially vulnerable to adverse changes in the economic environment, we also explore the determinants of a range of measures of financial pressure: the probability that a household has negative net worth; the debt-to-income ratio; mortgage income gearing; the saving-to-income ratio. Our empirical findings suggest that the poorest and the youngest households are the most vulnerable to adverse changes in their financial circumstances. Copyright (c) 2008 Royal Statistical Society.

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Bibliographic Info

Article provided by Royal Statistical Society in its journal Journal of the Royal Statistical Society: Series A (Statistics in Society).

Volume (Year): 171 (2008)
Issue (Month): 3 ()
Pages: 615-643

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Handle: RePEc:bla:jorssa:v:171:y:2008:i:3:p:615-643

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Cited by:
  1. Mario alejandro González & John Jairo León, . "Análisis del Endeudamiento de los Hogares Colombianos," Borradores de Economia 452, Banco de la Republica de Colombia.
  2. D'Antoni, Jeremy M. & Mishra, Ashok K. & Joo, Hyunjeong, 2012. "Welfare Implications of a Reduction in Government Payments: The Role of Fringe Benefits," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124766, Agricultural and Applied Economics Association.
  3. Marianna Brunetti & Elena Giarda & Costanza Torricelli, 2012. "Is financial fragility a matter of illiquidity? An appraisal for Italian households," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 12061, Universita di Modena e Reggio Emilia, Facoltà di Economia "Marco Biagi".
  4. C. Giannetti & M. Madia & L. Moretti, 2013. "Job Insecurity and Financial Distress," Working Papers wp887, Dipartimento Scienze Economiche, Universita' di Bologna.
  5. Matthias Keese, 2009. "Triggers and Determinants of Severe Household Indebtedness in Germany," Ruhr Economic Papers 0150, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  6. Sarah Brown & Gaia Garino & Karl Taylor, 2008. "Household Finances and Attitudes towards Risk," Working Papers 2008005, The University of Sheffield, Department of Economics, revised Dec 2009.
  7. Brown, Sarah & Taylor, Karl, 2011. "Household Finances and the 'Big Five' Personality Traits," IZA Discussion Papers 6191, Institute for the Study of Labor (IZA).
  8. Filippo Domma & Sabrina Giordano, 2012. "A stress–strength model with dependent variables to measure household financial fragility," Statistical Methods and Applications, Springer, vol. 21(3), pages 375-389, August.
  9. Giarda, Elena, 2013. "Persistency of financial distress amongst Italian households: Evidence from dynamic models for binary panel data," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3425-3434.
  10. Paulina Anioła & Zbigniew Gołaś, 2012. "Differences in the Level and Structure of Household Indebtedness in the EU Countries," Contemporary Economics, University of Finance and Management in Warsaw, vol. 6(1), March.
  11. Matthias Keese, 2009. "Triggers and Determinants of Severe Household Indebtedness in Germany," SOEPpapers on Multidisciplinary Panel Data Research 239, DIW Berlin, The German Socio-Economic Panel (SOEP).
  12. Herrala, Risto & Kauko, Karlo, 2007. "Household loan loss risk in Finland – estimations and simulations with micro data," Research Discussion Papers 5/2007, Bank of Finland.
  13. Brown, Sarah & Ghosh, Pulak & Taylor, Karl, 2014. "Household Finances and Social Interaction: Bayesian Analysis of Household Panel Data," IZA Discussion Papers 8301, Institute for the Study of Labor (IZA).
  14. Piotr Bialowolski & Dorota Weziak-Bialowolska, 2014. "The Index of Household Financial Condition, Combining Subjective and Objective Indicators: An Appraisal of Italian Households," Social Indicators Research, Springer, vol. 118(1), pages 365-385, August.

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